A Combined‐Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke

A Combined‐Mode Machine Learning Model for Predicting Stroke Recurrence During Hospitalization in Patients with Acute Minor Ischemic Stroke

ABSTRACT Acute minor ischemic stroke patients often experience recurrence shortly after symptom onset, highlighting the importance of predicting stroke recurrence for guiding treatment decisions. This study evaluated the effectiveness of machine learning models in predicting in‐hospital recurrence....

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Bibliographic Details
Main Authors: Wanxing Ye, Jin Gan, Meng Wang, Ziyang Liu, Hongqiu Gu, Xin Yang, Chunjuan Wang, Xia Meng, Yong Jiang, Hao Li, Liping Liu, Yongjun Wang, Zixiao Li
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:MedComm
Subjects:
acute minor ischemic stroke
in‐hospital recurrence
predictive model
machine learning
Online Access:https://doi.org/10.1002/mco2.70234
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https://doi.org/10.1002/mco2.70234

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